Fault tolerant controllers, based on the Continuous Twisting Algorithm (CTA), are designed for robust stabilization of a three-degree-of-freedom (3-DoF) helicopter prototype. Voltage variations (faults) in the actuators are detected and isolated by means of residual-based equations and exploiting the third-order sliding mode differentiator (SMD). Proposed fault detection and isolation (FDI) scheme is tested with intermittent and persistent faults induced by software. A unknown-input sliding mode observer (SMO) is developed to compare and highlight the performance of the proposed FDI-SMD respect to the classic FDI-SMO. Finally, simulations and real-time experiments confirm that CTA-based controllers counteract additive faults. Filtering the signals from residual equations is suggested in order to mitigate the effects of noises and neglected (parasitic) dynamics on the detectors.
Fault tolerant control based on continuous twisting algorithms of a 3-DoF helicopter prototype
Capello E;Punta E
2020
Abstract
Fault tolerant controllers, based on the Continuous Twisting Algorithm (CTA), are designed for robust stabilization of a three-degree-of-freedom (3-DoF) helicopter prototype. Voltage variations (faults) in the actuators are detected and isolated by means of residual-based equations and exploiting the third-order sliding mode differentiator (SMD). Proposed fault detection and isolation (FDI) scheme is tested with intermittent and persistent faults induced by software. A unknown-input sliding mode observer (SMO) is developed to compare and highlight the performance of the proposed FDI-SMD respect to the classic FDI-SMO. Finally, simulations and real-time experiments confirm that CTA-based controllers counteract additive faults. Filtering the signals from residual equations is suggested in order to mitigate the effects of noises and neglected (parasitic) dynamics on the detectors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.